Nenkova, Ani

Evaluating Content Selection in Summarization: The Pyramid Method

Nenkova, A., & Passonneau, R. (2004) · Columbia University

Advanced Text Analysis TechniquesTopic Modeling

Cited by 527

Revisiting readability: a unified framework for predicting text quality

Pitler, E., & Nenkova, A. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08

Text Readability and SimplificationNatural Language Processing Techniques

Cited by 375

The Pyramid Method: Incorporating human content selection variation in summarization evaluation

Nenkova, A., Passonneau, R., & McKeown, K. (2007) · ACM Transactions on Speech and Language Processing

Advanced Text Analysis TechniquesTopic Modeling

Cited by 307

AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models

Zhu, S., Zhang, R., An, B., Wu, G., Barrow, J., Wang, Z., Huang, F., Nenkova, A., & Sun, T. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 230

A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature

Nye, B., Li, J. J., Patel, R., Yang, Y., Marshall, I., Nenkova, A., & Wallace, B. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Biomedical Text Mining and OntologiesMeta-analysis and systematic reviews

Cited by 224

Class-level spectral features for emotion recognition

Bitouk, D., Verma, R., & Nenkova, A. (2010) · Speech Communication

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 219

Trialstreamer: A living, automatically updated database of clinical trial reports

Marshall, I. J., Nye, B., Kuiper, J., Noel-Storr, A., Marshall, R., Maclean, R., Soboczenski, F., Nenkova, A., Thomas, J., & Wallace, B. C. (2020) · Journal of the American Medical Informatics Association

Meta-analysis and systematic reviewsBiomedical Text Mining and Ontologies

Cited by 83

Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities

Savran, A., Cao, H., Nenkova, A., & Verma, R. (2015) · IEEE Transactions on Cybernetics

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 53

Automatic human utility evaluation of ASR systems: does WER really predict performance?

Favre, B., Cheung, K., Kazemian, S., Lee, A., Liu, Y., Munteanu, C., Nenkova, A., Ochei, D., Penn, G., Tratz, S., et al. (2013) · Interspeech 2013

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 44

Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations

Nye, B. E., DeYoung, J., Lehman, E., Nenkova, A., Marshall, I. J., & Wallace, B. C. (2020) · arXiv

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 15

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization

Huang, C.-Y., Hsu, T.-Y., Rossi, R., Nenkova, A., Kim, S., Chan, G. Y.-Y., Koh, E., Giles, C. L., & Huang, T.-H. '. (2023) · arXiv

Advanced Text Analysis TechniquesTopic Modeling

Cited by 0